Lindberg, Eva and Roberge, Jean-Michel and Johansson, Therese and Hjältén, Joakim
(2015).
Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from Satellite Images Be Used to Predict Abundance and Species Richness of Birds and Beetles in Boreal Forest?
Remote Sensing. 7
, 4233-4252
[Research article]
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Abstract
In managed landscapes, conservation planning requires effective methods to identify high-biodiversity areas. The objective of this study was to evaluate the potential of airborne laser scanning (ALS) and forest estimates derived from satellite images extracted at two spatial scales for predicting the stand-scale abundance and species richness of birds and beetles in a managed boreal forest landscape. Multiple regression models based on forest data from a 50-m radius (i.e., corresponding to a homogenous forest stand) had better explanatory power than those based on a 200-m radius (i.e., including also parts of adjacent stands). Bird abundance and species richness were best explained by the ALS variables "maximum vegetation height" and "vegetation cover between 0.5 and 3 m" (both positive). Flying beetle abundance and species richness, as well as epigaeic (i.e., ground-living) beetle richness were best explained by a model including the ALS variable "maximum vegetation height" (positive) and the satellite-derived variable "proportion of pine" (negative). Epigaeic beetle abundance was best explained by "maximum vegetation height" at 50 m (positive) and "stem volume" at 200 m (positive). Our results show that forest estimates derived from satellite images and ALS data provide complementary information for explaining forest biodiversity patterns. We conclude that these types of remote sensing data may provide an efficient tool for conservation planning in managed boreal landscapes.
Authors/Creators: | Lindberg, Eva and Roberge, Jean-Michel and Johansson, Therese and Hjältén, Joakim | ||||||
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Title: | Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from Satellite Images Be Used to Predict Abundance and Species Richness of Birds and Beetles in Boreal Forest? | ||||||
Series Name/Journal: | Remote Sensing | ||||||
Year of publishing : | 2015 | ||||||
Volume: | 7 | ||||||
Page range: | 4233-4252 | ||||||
Number of Pages: | 20 | ||||||
Associated Programs and Other Stakeholders: | SLU - Research Areas for the Future > Future Forests (until Jan 2017) | ||||||
Language: | English | ||||||
Publication Type: | Research article | ||||||
Article category: | Scientific peer reviewed | ||||||
Version: | Published version | ||||||
Copyright: | Creative Commons: Attribution 4.0 | ||||||
Full Text Status: | Public | ||||||
Subjects: | (A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology (A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science | ||||||
Keywords: | biodiversity hot spot, LiDAR, ALS, kNN, epigaeic beetles, birds, beetles, boreal forest | ||||||
URN:NBN: | urn:nbn:se:slu:epsilon-p-66584 | ||||||
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-66584 | ||||||
Additional ID: |
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ID Code: | 23361 | ||||||
Faculty: | S - Faculty of Forest Sciences | ||||||
Department: | (S) > Dept. of Forest Resource Management (NL, NJ) > Dept. of Forest Resource Management (S) > Dept. of Wildlife, Fish and Environmental Studies | ||||||
Deposited By: | SLUpub Connector | ||||||
Deposited On: | 27 Apr 2021 11:43 | ||||||
Metadata Last Modified: | 23 Feb 2022 21:00 |
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